Premium
Assessing human skin color from uncalibrated images
Author(s) -
Marguier J.,
Bhatti N.,
Baker H.,
Harville M.,
Süsstrunk S.
Publication year - 2007
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20114
Subject(s) - artificial intelligence , computer vision , computer science , rendering (computer graphics) , skin color , icc profile , rgb color model , ranging , color balance , color space , color image , computer graphics (images) , color model , image processing , image (mathematics) , telecommunications
Abstract Images of a scene captured with multiple cameras will have different color values because of variations in color rendering across devices. We present a method to accurately retrieve color information from uncalibrated images taken under uncontrolled lighting conditions with an unknown device and no access to raw data, but with a limited number of reference colors in the scene. The method is used to assess skin tones. A subject is imaged with a calibration target. The target is extracted and its color values are used to compute a color correction transform that is applied to the entire image. We establish that the best mapping is done using a target consisting of skin colored patches representing the whole range of human skin colors. We show that color information extracted from images is well correlated with color data derived from spectral measurements of skin. We also show that skin color can be consistently measured across cameras with different color rendering and resolutions ranging from 0.1 to 4.0 megapixels. © 2007 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 143–151, 2007